10) Use the equation of the regression line to estimate the systolic blood pressure for a person with a BMI of 24. 11) Use the equation of the regression line to estimate the BMI for a person with a systolic blood pressure of 130 12) Based on the correlation coefficient of r = 0.42, what percent of the differences in people's systolic blood pressure can be explained by the difference in their BMIS?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The correlation between a person's body mass index (BMI) and their systolic blood
pressure is r = 0.42, and the equation of the least squares regression line is
y = 3.9x + 24.8 where x = BMI and ŷ = systolic blood pressure.
10) Use the equation of the regression line to estimate the systolic blood pressure for a person
with a BMI of 24.
11) Use the equation of the regression line to estimate the BMI for a person with a systolic blood
pressure of 130
12) Based on the correlation coefficient of r = 0.42, what percent of the differences in
people's systolic blood pressure can be explained by the difference in their BMIs?
Transcribed Image Text:The correlation between a person's body mass index (BMI) and their systolic blood pressure is r = 0.42, and the equation of the least squares regression line is y = 3.9x + 24.8 where x = BMI and ŷ = systolic blood pressure. 10) Use the equation of the regression line to estimate the systolic blood pressure for a person with a BMI of 24. 11) Use the equation of the regression line to estimate the BMI for a person with a systolic blood pressure of 130 12) Based on the correlation coefficient of r = 0.42, what percent of the differences in people's systolic blood pressure can be explained by the difference in their BMIs?
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